Mathematical models to assessment the energy performance of textured cladding for facades

The temperature increase of a city in relation to its peripheral areas leads to the formation of an Urban Heat Island. Working on the Opto-thermal properties of the building envelope is a viable mitigation strategy to reduce the temperatures of a city. Having quantitative data on energy performance...

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Autores principales:	Alchapar Noelia, Correa Erica
Formato:	article
Lenguaje:	EN
Publicado:	Tamkang University Press 2021
Materias:	solar reflectance index building materials correlational model Engineering (General). Civil engineering (General) TA1-2040 Chemical engineering TP155-156 Physics QC1-999
Acceso en línea:	https://doaj.org/article/9985a8a80fff417c967f37bca0d9ef9c
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spelling	oai:doaj.org-article:9985a8a80fff417c967f37bca0d9ef9c2021-11-23T14:34:59ZMathematical models to assessment the energy performance of textured cladding for facades10.6180/jase.202202_25(1).00152708-99672708-9975https://doaj.org/article/9985a8a80fff417c967f37bca0d9ef9c2021-11-01T00:00:00Zhttp://jase.tku.edu.tw/articles/jase-202202-25-1-0015https://doaj.org/toc/2708-9967https://doaj.org/toc/2708-9975The temperature increase of a city in relation to its peripheral areas leads to the formation of an Urban Heat Island. Working on the Opto-thermal properties of the building envelope is a viable mitigation strategy to reduce the temperatures of a city. Having quantitative data on energy performance allows the development of precise evaluations and the selection of the most efficient data in relation to energy consumption. The degree of efficiency of a material is calculated with an indicator called Solar Reflectance Index (SRI). Since opto-thermal properties change over time, the standard recommends obtaining the SRI level of both new and three-year-aged material (SRI3). In the present work, 80 facade claddings were evaluated to (a) determine which qualitative variables significantly influence the SRI3 of the claddings; (b) obtain an equation that calculates the SRI3 without the need to monitor the large number of variables used for its calculation. For this, the following statistical methods were used: multifactorial ANOVA and linear regression model. In this correlational analysis, color, composition, and texture were selected as independent variables. The research showed that color is the variable that significantly influences SRI3 in all the evaluated claddings. By means of the equation obtained with the regression model, the SRI3 index was predicted to reach 95% IC. These results significantly save time and simplify the process of obtaining data since it is not necessary to monitor numerous input variables to calculate the indicator.Alchapar NoeliaCorrea EricaTamkang University Pressarticlesolar reflectance indexbuilding materialscorrelational modelEngineering (General). Civil engineering (General)TA1-2040Chemical engineeringTP155-156PhysicsQC1-999ENJournal of Applied Science and Engineering, Vol 25, Iss 1, Pp 151-158 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	solar reflectance index building materials correlational model Engineering (General). Civil engineering (General) TA1-2040 Chemical engineering TP155-156 Physics QC1-999
spellingShingle	solar reflectance index building materials correlational model Engineering (General). Civil engineering (General) TA1-2040 Chemical engineering TP155-156 Physics QC1-999 Alchapar Noelia Correa Erica Mathematical models to assessment the energy performance of textured cladding for facades
description	The temperature increase of a city in relation to its peripheral areas leads to the formation of an Urban Heat Island. Working on the Opto-thermal properties of the building envelope is a viable mitigation strategy to reduce the temperatures of a city. Having quantitative data on energy performance allows the development of precise evaluations and the selection of the most efficient data in relation to energy consumption. The degree of efficiency of a material is calculated with an indicator called Solar Reflectance Index (SRI). Since opto-thermal properties change over time, the standard recommends obtaining the SRI level of both new and three-year-aged material (SRI3). In the present work, 80 facade claddings were evaluated to (a) determine which qualitative variables significantly influence the SRI3 of the claddings; (b) obtain an equation that calculates the SRI3 without the need to monitor the large number of variables used for its calculation. For this, the following statistical methods were used: multifactorial ANOVA and linear regression model. In this correlational analysis, color, composition, and texture were selected as independent variables. The research showed that color is the variable that significantly influences SRI3 in all the evaluated claddings. By means of the equation obtained with the regression model, the SRI3 index was predicted to reach 95% IC. These results significantly save time and simplify the process of obtaining data since it is not necessary to monitor numerous input variables to calculate the indicator.
format	article
author	Alchapar Noelia Correa Erica
author_facet	Alchapar Noelia Correa Erica
author_sort	Alchapar Noelia
title	Mathematical models to assessment the energy performance of textured cladding for facades
title_short	Mathematical models to assessment the energy performance of textured cladding for facades
title_full	Mathematical models to assessment the energy performance of textured cladding for facades
title_fullStr	Mathematical models to assessment the energy performance of textured cladding for facades
title_full_unstemmed	Mathematical models to assessment the energy performance of textured cladding for facades
title_sort	mathematical models to assessment the energy performance of textured cladding for facades
publisher	Tamkang University Press
publishDate	2021
url	https://doaj.org/article/9985a8a80fff417c967f37bca0d9ef9c
work_keys_str_mv	AT alchaparnoelia mathematicalmodelstoassessmenttheenergyperformanceoftexturedcladdingforfacades AT correaerica mathematicalmodelstoassessmenttheenergyperformanceoftexturedcladdingforfacades
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Mathematical models to assessment the energy performance of textured cladding for facades

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